In order to deal with this problem, we have proposed a system for controlling sensor speed in Wireless Sensor Networks (WSNs). The proposed system is based on ...

The proposed system uses 3 input linguistic parameters: Remaining Power of Sensor (RPS), Degree of Number of Neighbor Nodes (D3N) and Sensor Speed (SS) for ...

We have proposed a system for controlling sensor speed in Wireless Sensor Networks (WSNs). The proposed system is based on fuzzy logic.

In order to deal with this problem, we have proposed a system for controlling sensor speed in Wireless Sensor Networks (WSNs). The proposed system is based on ...

By controlling the sensor speed, we are able to predict whether the node will leave or stay in the cluster. We evaluate the proposed system by simulations and ...

A power reduction algorithm for sensor networks based on fuzzy logic and node movement that is able to predict if the node will leave the cluster by ...

The proposed system is based on fuzzy logic. We use 4 input linguistic parameters: Remaining Power of Sensor (RPS), Degree of Number of Neighbor Nodes (D3N), ...

ABSTRACT. Cluster formation and cluster head selection are important problems in Wireless Sensor Network. (WSN) applications and can drastically affect the ...

In order to deal with this problem, we have proposed a power reduction algorithm for sensor networks based on fuzzy logic and node movement. The proposed system ...

Nov 1, 2019 · Each sensor node is equipped with a Mamdani fuzzy inference system to find its fitness to become the cluster head. The sink is equipped with FCM ...